Pandas Profiling Report

Dataset statistics

Number of variables	73
Number of observations	62
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	35.5 KiB
Average record size in memory	586.1 B

Variable types

Categorical	66
Numeric	7

Alerts

`marital_status_other` has constant value ""	Constant
`employment_status_other` has constant value ""	Constant
`duration` is highly overall correlated with `enumerator_id` and 15 other fields	High correlation
`enumerator_id` is highly overall correlated with `duration` and 22 other fields	High correlation
`district` is highly overall correlated with `today` and 19 other fields	High correlation
`community` is highly overall correlated with `today` and 31 other fields	High correlation
`Age` is highly overall correlated with `enumerator_id` and 9 other fields	High correlation
`schooling` is highly overall correlated with `today` and 11 other fields	High correlation
`household_size` is highly overall correlated with `duration` and 20 other fields	High correlation
`today` is highly overall correlated with `region` and 30 other fields	High correlation
`supervisor_id` is highly overall correlated with `enumerator_id` and 15 other fields	High correlation
`region` is highly overall correlated with `today` and 19 other fields	High correlation
`Sex` is highly overall correlated with `savings_amount_30days` and 2 other fields	High correlation
`schooling_other` is highly overall correlated with `today` and 17 other fields	High correlation
`marital_status` is highly overall correlated with `today` and 19 other fields	High correlation
`employment_status` is highly overall correlated with `today` and 20 other fields	High correlation
`had_business` is highly overall correlated with `community` and 3 other fields	High correlation
`previous_business_status` is highly overall correlated with `household_size` and 9 other fields	High correlation
`business_status_other` is highly overall correlated with `duration` and 17 other fields	High correlation
`new_business` is highly overall correlated with `region` and 3 other fields	High correlation
`completed_tech_training` is highly overall correlated with `today` and 13 other fields	High correlation
`received_grant` is highly overall correlated with `community` and 7 other fields	High correlation
`grant_month` is highly overall correlated with `today` and 24 other fields	High correlation
`grant_amount` is highly overall correlated with `today` and 40 other fields	High correlation
`have_goal` is highly overall correlated with `today` and 4 other fields	High correlation
`specific_goal` is highly overall correlated with `today` and 22 other fields	High correlation
`specific_goal_other` is highly overall correlated with `duration` and 7 other fields	High correlation
`goal_timeline` is highly overall correlated with `today` and 35 other fields	High correlation
`goal_cost` is highly overall correlated with `marital_status` and 8 other fields	High correlation
`accomplish_goal` is highly overall correlated with `today` and 21 other fields	High correlation
`accomplish_goal_other` is highly overall correlated with `duration` and 12 other fields	High correlation
`savings_frequency` is highly overall correlated with `goal_cost` and 6 other fields	High correlation
`savings_frequency_often` is highly overall correlated with `duration` and 30 other fields	High correlation
`savings_frequency_often_other` is highly overall correlated with `household_size` and 16 other fields	High correlation
`savings_amount` is highly overall correlated with `grant_amount` and 8 other fields	High correlation
`savings_amount_howmuch` is highly overall correlated with `today` and 43 other fields	High correlation
`save_30days` is highly overall correlated with `save_purpose_30days` and 10 other fields	High correlation
`save_purpose_30days` is highly overall correlated with `today` and 38 other fields	High correlation
`save_purpose_30days_other` is highly overall correlated with `region` and 18 other fields	High correlation
`savings_times_30days` is highly overall correlated with `today` and 25 other fields	High correlation
`savings_times_30days_other` is highly overall correlated with `duration` and 12 other fields	High correlation
`savings_amount_30days` is highly overall correlated with `today` and 38 other fields	High correlation
`savings_place_30days` is highly overall correlated with `today` and 39 other fields	High correlation
`savings_place_30days_other` is highly overall correlated with `enumerator_id` and 12 other fields	High correlation
`save_12months` is highly overall correlated with `save_30days` and 10 other fields	High correlation
`save_purpose_12months` is highly overall correlated with `duration` and 39 other fields	High correlation
`save_purpose_12months_other` is highly overall correlated with `enumerator_id` and 18 other fields	High correlation
`savings_times_12months` is highly overall correlated with `supervisor_id` and 21 other fields	High correlation
`savings_times_12months_other` is highly overall correlated with `duration` and 26 other fields	High correlation
`savings_amount_12months` is highly overall correlated with `duration` and 44 other fields	High correlation
`savings_place_12months` is highly overall correlated with `duration` and 30 other fields	High correlation
`savings_place_12months_other` is highly overall correlated with `enumerator_id` and 16 other fields	High correlation
`save_ability` is highly overall correlated with `today` and 12 other fields	High correlation
`save_reason` is highly overall correlated with `today` and 17 other fields	High correlation
`save_reason_other` is highly overall correlated with `today` and 21 other fields	High correlation
`business_principles` is highly overall correlated with `today` and 51 other fields	High correlation
`business_principles_other` is highly overall correlated with `household_size` and 17 other fields	High correlation
`business_principles_applied` is highly overall correlated with `today` and 41 other fields	High correlation
`business_principles_applied_other` is highly overall correlated with `household_size` and 20 other fields	High correlation
`purchase_eggs` is highly overall correlated with `today` and 20 other fields	High correlation
`purchase_beef` is highly overall correlated with `today` and 21 other fields	High correlation
`construction_material` is highly overall correlated with `today` and 17 other fields	High correlation
`fuel` is highly overall correlated with `today` and 25 other fields	High correlation
`gas_stove` is highly overall correlated with `today` and 18 other fields	High correlation
`refrigerator` is highly overall correlated with `grant_amount` and 3 other fields	High correlation
`fan` is highly overall correlated with `community` and 3 other fields	High correlation
`television` is highly overall correlated with `today` and 17 other fields	High correlation
`borrowed_30days` is highly overall correlated with `today` and 17 other fields	High correlation
`borrowed_reason` is highly overall correlated with `savings_times_30days_other` and 4 other fields	High correlation
`reduce_food` is highly overall correlated with `community` and 6 other fields	High correlation
`unexpected_expense` is highly overall correlated with `community` and 4 other fields	High correlation
`current_wealth` is highly overall correlated with `duration` and 12 other fields	High correlation
`future_wealth` is highly overall correlated with `community` and 16 other fields	High correlation
`duration` has unique values	Unique
`district` has 27 (43.5%) zeros	Zeros
`schooling` has 40 (64.5%) zeros	Zeros

Reproduction

Analysis started	2022-11-28 03:54:51.701196
Analysis finished	2022-11-28 03:56:22.803963
Duration	1 minute and 31.1 seconds
Software version	pandas-profiling vdev
Download configuration	config.json

today
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

2022-11-27	32
2022-11-22	27
2022-11-15	1
2022-11-21	1
2022-11-23	1

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	620
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	4.8%

Sample

1st row	2022-11-15
2nd row	2022-11-21
3rd row	2022-11-22
4th row	2022-11-22
5th row	2022-11-22

Common Values

Value	Count	Frequency (%)
2022-11-27	32	51.6%
2022-11-22	27	43.5%
2022-11-15	1	1.6%
2022-11-21	1	1.6%
2022-11-23	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2022-11-27	32	51.6%
2022-11-22	27	43.5%
2022-11-15	1	1.6%
2022-11-21	1	1.6%
2022-11-23	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
2	274	44.2%
1	126	20.3%
-	124	20.0%
0	62	10.0%
7	32	5.2%
5	1	0.2%
3	1	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	496	80.0%
Dash Punctuation	124	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	274	55.2%
1	126	25.4%
0	62	12.5%
7	32	6.5%
5	1	0.2%
3	1	0.2%

Dash Punctuation

Value	Count	Frequency (%)
-	124	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	620	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	274	44.2%
1	126	20.3%
-	124	20.0%
0	62	10.0%
7	32	5.2%
5	1	0.2%
3	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	620	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	274	44.2%
1	126	20.3%
-	124	20.0%
0	62	10.0%
7	32	5.2%
5	1	0.2%
3	1	0.2%

duration
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5596.2581

Minimum	320
Maximum	71025
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	628.0 B

Quantile statistics

Minimum	320
5-th percentile	1023.8
Q1	1352.5
median	2011.5
Q3	3895.5
95-th percentile	20665.7
Maximum	71025
Range	70705
Interquartile range (IQR)	2543

Descriptive statistics

Standard deviation	12102.943
Coefficient of variation (CV)	2.1626849
Kurtosis	20.42371
Mean	5596.2581
Median Absolute Deviation (MAD)	795
Skewness	4.4042603
Sum	346968
Variance	1.4648122 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
320	1	1.6%
1720	1	1.6%
1309	1	1.6%
1695	1	1.6%
1349	1	1.6%
3462	1	1.6%
2486	1	1.6%
2493	1	1.6%
2159	1	1.6%
1697	1	1.6%
Other values (52)	52	83.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
320	1	1.6%
482	1	1.6%
874	1	1.6%
1023	1	1.6%
1039	1	1.6%
1077	1	1.6%
1102	1	1.6%
1181	1	1.6%
1207	1	1.6%
1226	1	1.6%

Value	Count	Frequency (%)
71025	1	1.6%
60917	1	1.6%
26614	1	1.6%
21018	1	1.6%
13972	1	1.6%
13653	1	1.6%
12402	1	1.6%
9525	1	1.6%
6625	1	1.6%
5093	1	1.6%

enumerator_id
Real number (ℝ)

Distinct	21
Distinct (%)	33.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	440077.05

Minimum	110810
Maximum	962272
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	628.0 B

Quantile statistics

Minimum	110810
5-th percentile	163292
Q1	222789
median	314724
Q3	696629.75
95-th percentile	920268.9
Maximum	962272
Range	851462
Interquartile range (IQR)	473840.75

Descriptive statistics

Standard deviation	292367.64
Coefficient of variation (CV)	0.66435556
Kurtosis	-1.2610577
Mean	440077.05
Median Absolute Deviation (MAD)	151432
Skewness	0.6306589
Sum	27284777
Variance	8.5478834 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
163292	11	17.7%
231314	10	16.1%
314724	8	12.9%
882463	7	11.3%
920723	3	4.8%
505716	2	3.2%
911641	2	3.2%
762865	2	3.2%
224661	2	3.2%
509828	2	3.2%
Other values (11)	13	21.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
110810	1	1.6%
118023	1	1.6%
133152	1	1.6%
163292	11	17.7%
200925	1	1.6%
222165	1	1.6%
224661	2	3.2%
231314	10	16.1%
258309	1	1.6%
314724	8	12.9%

Value	Count	Frequency (%)
962272	1	1.6%
920723	3	4.8%
911641	2	3.2%
882463	7	11.3%
762865	2	3.2%
706148	1	1.6%
668075	2	3.2%
625423	2	3.2%
590001	1	1.6%
509828	2	3.2%

supervisor_id
Categorical

Distinct	3
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

201	40
202	12
203	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	186
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	201
2nd row	201
3rd row	201
4th row	201
5th row	201

Common Values

Value	Count	Frequency (%)
201	40	64.5%
202	12	19.4%
203	10	16.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
201	40	64.5%
202	12	19.4%
203	10	16.1%

Most occurring characters

Value	Count	Frequency (%)
2	74	39.8%
0	62	33.3%
1	40	21.5%
3	10	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	186	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	74	39.8%
0	62	33.3%
1	40	21.5%
3	10	5.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	186	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	74	39.8%
0	62	33.3%
1	40	21.5%
3	10	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	186	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	74	39.8%
0	62	33.3%
1	40	21.5%
3	10	5.4%

region
Categorical

Distinct	4
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

0	27
4	20
1	8
2	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	27	43.5%
4	20	32.3%
1	8	12.9%
2	7	11.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	27	43.5%
4	20	32.3%
1	8	12.9%
2	7	11.3%

Most occurring characters

Value	Count	Frequency (%)
0	27	43.5%
4	20	32.3%
1	8	12.9%
2	7	11.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	27	43.5%
4	20	32.3%
1	8	12.9%
2	7	11.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	27	43.5%
4	20	32.3%
1	8	12.9%
2	7	11.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	27	43.5%
4	20	32.3%
1	8	12.9%
2	7	11.3%

district
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	9.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	167.53226

Minimum	0
Maximum	409
Zeros	27
Zeros (%)	43.5%
Negative	0
Negative (%)	0.0%
Memory size	628.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	108
Q3	401
95-th percentile	409
Maximum	409
Range	409
Interquartile range (IQR)	401

Descriptive statistics

Standard deviation	177.76654
Coefficient of variation (CV)	1.0610884
Kurtosis	-1.6042879
Mean	167.53226
Median Absolute Deviation (MAD)	108
Skewness	0.42518151
Sum	10387
Variance	31600.942
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	27	43.5%
409	11	17.7%
401	9	14.5%
203	7	11.3%
108	7	11.3%
102	1	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	27	43.5%
102	1	1.6%
108	7	11.3%
203	7	11.3%
401	9	14.5%
409	11	17.7%

Value	Count	Frequency (%)
409	11	17.7%
401	9	14.5%
203	7	11.3%
108	7	11.3%
102	1	1.6%
0	27	43.5%

community
Real number (ℝ)

Distinct	7
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	609.30645

Minimum	156
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	628.0 B

Quantile statistics

Minimum	156
5-th percentile	156
Q1	223
median	510
Q3	999
95-th percentile	999
Maximum	999
Range	843
Interquartile range (IQR)	776

Descriptive statistics

Standard deviation	359.61498
Coefficient of variation (CV)	0.5902038
Kurtosis	-1.8411947
Mean	609.30645
Median Absolute Deviation (MAD)	354
Skewness	0.04650768
Sum	37777
Variance	129322.94
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
999	27	43.5%
223	10	16.1%
510	9	14.5%
156	7	11.3%
295	7	11.3%
394	1	1.6%
433	1	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
156	7	11.3%
223	10	16.1%
295	7	11.3%
394	1	1.6%
433	1	1.6%
510	9	14.5%
999	27	43.5%

Value	Count	Frequency (%)
999	27	43.5%
510	9	14.5%
433	1	1.6%
394	1	1.6%
295	7	11.3%
223	10	16.1%
156	7	11.3%

Sex
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

2	35
1	27

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	35	56.5%
1	27	43.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	35	56.5%
1	27	43.5%

Most occurring characters

Value	Count	Frequency (%)
2	35	56.5%
1	27	43.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	35	56.5%
1	27	43.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	35	56.5%
1	27	43.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	35	56.5%
1	27	43.5%

Age
Real number (ℝ)

Distinct	29
Distinct (%)	46.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	134.67742

Minimum	20
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	628.0 B

Quantile statistics

Minimum	20
5-th percentile	25.1
Q1	34.25
median	42.5
Q3	54.25
95-th percentile	999
Maximum	999
Range	979
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	285.42076
Coefficient of variation (CV)	2.1192919
Kurtosis	5.9854484
Mean	134.67742
Median Absolute Deviation (MAD)	8.5
Skewness	2.7887158
Sum	8350
Variance	81465.009
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
40	7	11.3%
999	6	9.7%
34	4	6.5%
42	3	4.8%
20	3	4.8%
45	3	4.8%
30	3	4.8%
60	3	4.8%
48	3	4.8%
33	2	3.2%
Other values (19)	25	40.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	3	4.8%
25	1	1.6%
27	1	1.6%
28	1	1.6%
29	1	1.6%
30	3	4.8%
33	2	3.2%
34	4	6.5%
35	2	3.2%
38	1	1.6%

Value	Count	Frequency (%)
999	6	9.7%
62	2	3.2%
61	1	1.6%
60	3	4.8%
59	1	1.6%
56	1	1.6%
55	2	3.2%
52	1	1.6%
51	1	1.6%
50	1	1.6%

schooling
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.935484

Minimum	0
Maximum	777
Zeros	40
Zeros (%)	64.5%
Negative	0
Negative (%)	0.0%
Memory size	628.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	6
Maximum	777
Range	777
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	138.25456
Coefficient of variation (CV)	5.3307107
Kurtosis	28.355763
Mean	25.935484
Median Absolute Deviation (MAD)	0
Skewness	5.4255629
Sum	1608
Variance	19114.324
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	40	64.5%
1	10	16.1%
3	4	6.5%
6	3	4.8%
777	2	3.2%
5	2	3.2%
4	1	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	40	64.5%
1	10	16.1%
3	4	6.5%
4	1	1.6%
5	2	3.2%
6	3	4.8%
777	2	3.2%

Value	Count	Frequency (%)
777	2	3.2%
6	3	4.8%
5	2	3.2%
4	1	1.6%
3	4	6.5%
1	10	16.1%
0	40	64.5%

schooling_other
Categorical

Distinct	3
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	60
TEST	1
Nursery	1

Length

Max length	7
Median length	0
Mean length	0.17741935
Min length	0

Characters and Unicode

Total characters	11
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	3.2%

Sample

1st row
2nd row	TEST
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	60	96.8%
TEST	1	1.6%
Nursery	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
test	1	50.0%
nursery	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
T	2	18.2%
r	2	18.2%
E	1	9.1%
S	1	9.1%
N	1	9.1%
u	1	9.1%
s	1	9.1%
e	1	9.1%
y	1	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6	54.5%
Uppercase Letter	5	45.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2	33.3%
u	1	16.7%
s	1	16.7%
e	1	16.7%
y	1	16.7%

Uppercase Letter

Value	Count	Frequency (%)
T	2	40.0%
E	1	20.0%
S	1	20.0%
N	1	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	2	18.2%
r	2	18.2%
E	1	9.1%
S	1	9.1%
N	1	9.1%
u	1	9.1%
s	1	9.1%
e	1	9.1%
y	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	2	18.2%
r	2	18.2%
E	1	9.1%
S	1	9.1%
N	1	9.1%
u	1	9.1%
s	1	9.1%
e	1	9.1%
y	1	9.1%

marital_status
Categorical

Distinct	4
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	53
4	5
2	3
3	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	2
2nd row	4
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	53	85.5%
4	5	8.1%
2	3	4.8%
3	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	53	85.5%
4	5	8.1%
2	3	4.8%
3	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
1	53	85.5%
4	5	8.1%
2	3	4.8%
3	1	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	53	85.5%
4	5	8.1%
2	3	4.8%
3	1	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	53	85.5%
4	5	8.1%
2	3	4.8%
3	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	53	85.5%
4	5	8.1%
2	3	4.8%
3	1	1.6%

marital_status_other
Categorical

Distinct	1
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	62

Length

Max length	0
Median length	0
Mean length	0
Min length	0

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	62	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
No values found.

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

household_size
Real number (ℝ)

Distinct	16
Distinct (%)	25.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.306452

Minimum	4
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	628.0 B

Quantile statistics

Minimum	4
5-th percentile	5.05
Q1	8
median	11
Q3	14.75
95-th percentile	20
Maximum	20
Range	16
Interquartile range (IQR)	6.75

Descriptive statistics

Standard deviation	4.3742492
Coefficient of variation (CV)	0.38688081
Kurtosis	-0.47152283
Mean	11.306452
Median Absolute Deviation (MAD)	3
Skewness	0.54771469
Sum	701
Variance	19.134056
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
12	9	14.5%
9	7	11.3%
20	6	9.7%
15	6	9.7%
10	5	8.1%
8	5	8.1%
7	5	8.1%
6	4	6.5%
11	4	6.5%
5	3	4.8%
Other values (6)	8	12.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	1.6%
5	3	4.8%
6	4	6.5%
7	5	8.1%
8	5	8.1%
9	7	11.3%
10	5	8.1%
11	4	6.5%
12	9	14.5%
13	2	3.2%

Value	Count	Frequency (%)
20	6	9.7%
19	1	1.6%
17	1	1.6%
16	2	3.2%
15	6	9.7%
14	1	1.6%
13	2	3.2%
12	9	14.5%
11	4	6.5%
10	5	8.1%

employment_status
Categorical

Distinct	4
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

2	30
4	18
1	11
3	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	30	48.4%
4	18	29.0%
1	11	17.7%
3	3	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	30	48.4%
4	18	29.0%
1	11	17.7%
3	3	4.8%

Most occurring characters

Value	Count	Frequency (%)
2	30	48.4%
4	18	29.0%
1	11	17.7%
3	3	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	30	48.4%
4	18	29.0%
1	11	17.7%
3	3	4.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	30	48.4%
4	18	29.0%
1	11	17.7%
3	3	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	30	48.4%
4	18	29.0%
1	11	17.7%
3	3	4.8%

employment_status_other
Categorical

Distinct	1
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	62

Length

Max length	0
Median length	0
Mean length	0
Min length	0

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	62	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
No values found.

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

had_business
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	35
0	27

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	35	56.5%
0	27	43.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	35	56.5%
0	27	43.5%

Most occurring characters

Value	Count	Frequency (%)
1	35	56.5%
0	27	43.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	35	56.5%
0	27	43.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	35	56.5%
0	27	43.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	35	56.5%
0	27	43.5%

previous_business_status
Categorical

Distinct	4
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	27
2	18
1	10
777	7

Length

Max length	3
Median length	1
Mean length	0.79032258
Min length	0

Characters and Unicode

Total characters	49
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
	27	43.5%
2	18	29.0%
1	10	16.1%
777	7	11.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	18	51.4%
1	10	28.6%
777	7	20.0%

Most occurring characters

Value	Count	Frequency (%)
7	21	42.9%
2	18	36.7%
1	10	20.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	49	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	21	42.9%
2	18	36.7%
1	10	20.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	49	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	21	42.9%
2	18	36.7%
1	10	20.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	21	42.9%
2	18	36.7%
1	10	20.4%

business_status_other
Categorical

Distinct	8
Distinct (%)	12.9%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	55
Only Hausa koko selling	1
Reareling goats	1
Added livestock to old business	1
Different business (Share bottor processing)	1
Other values (3)	3

Length

Max length	44
Median length	0
Mean length	3.0645161
Min length	0

Characters and Unicode

Total characters	190
Distinct characters	32
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	11.3%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	55	88.7%
Only Hausa koko selling	1	1.6%
Reareling goats	1	1.6%
Added livestock to old business	1	1.6%
Different business (Share bottor processing)	1	1.6%
Different business (Tobacco and koala)	1	1.6%
Is very sluggish	1	1.6%
No previous business	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
business	4	14.8%
different	2	7.4%
share	1	3.7%
no	1	3.7%
sluggish	1	3.7%
very	1	3.7%
is	1	3.7%
koala	1	3.7%
and	1	3.7%
tobacco	1	3.7%
Other values (13)	13	48.1%

Most occurring characters

Value	Count	Frequency (%)
	23	12.1%
s	22	11.6%
e	17	8.9%
o	14	7.4%
i	12	6.3%
n	11	5.8%
a	9	4.7%
l	8	4.2%
r	8	4.2%
t	7	3.7%
Other values (22)	59	31.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	153	80.5%
Space Separator	23	12.1%
Uppercase Letter	10	5.3%
Close Punctuation	2	1.1%
Open Punctuation	2	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	22	14.4%
e	17	11.1%
o	14	9.2%
i	12	7.8%
n	11	7.2%
a	9	5.9%
l	8	5.2%
r	8	5.2%
t	7	4.6%
u	7	4.6%
Other values (10)	38	24.8%

Uppercase Letter

Value	Count	Frequency (%)
D	2	20.0%
T	1	10.0%
I	1	10.0%
O	1	10.0%
S	1	10.0%
A	1	10.0%
R	1	10.0%
H	1	10.0%
N	1	10.0%

Space Separator

Value	Count	Frequency (%)
	23	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	163	85.8%
Common	27	14.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	22	13.5%
e	17	10.4%
o	14	8.6%
i	12	7.4%
n	11	6.7%
a	9	5.5%
l	8	4.9%
r	8	4.9%
t	7	4.3%
u	7	4.3%
Other values (19)	48	29.4%

Common

Value	Count	Frequency (%)
	23	85.2%
)	2	7.4%
(	2	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	190	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	23	12.1%
s	22	11.6%
e	17	8.9%
o	14	7.4%
i	12	6.3%
n	11	5.8%
a	9	4.7%
l	8	4.2%
r	8	4.2%
t	7	3.7%
Other values (22)	59	31.1%

new_business
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	34
0	28

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	34	54.8%
0	28	45.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	34	54.8%
0	28	45.2%

Most occurring characters

Value	Count	Frequency (%)
1	34	54.8%
0	28	45.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	34	54.8%
0	28	45.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	34	54.8%
0	28	45.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	34	54.8%
0	28	45.2%

completed_tech_training
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	61
0	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

received_grant
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	57
0	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	57	91.9%
0	5	8.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	57	91.9%
0	5	8.1%

Most occurring characters

Value	Count	Frequency (%)
1	57	91.9%
0	5	8.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	57	91.9%
0	5	8.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	57	91.9%
0	5	8.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	57	91.9%
0	5	8.1%

grant_month
Categorical

Distinct	9
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

8	19
9	14
11	13
	5
3	3
Other values (4)	8

Length

Max length	2
Median length	1
Mean length	1.1612903
Min length	0

Characters and Unicode

Total characters	72
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row	5
3rd row	8
4th row	11
5th row	10

Common Values

Value	Count	Frequency (%)
8	19	30.6%
9	14	22.6%
11	13	21.0%
	5	8.1%
3	3	4.8%
5	2	3.2%
10	2	3.2%
6	2	3.2%
7	2	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
8	19	33.3%
9	14	24.6%
11	13	22.8%
3	3	5.3%
5	2	3.5%
10	2	3.5%
6	2	3.5%
7	2	3.5%

Most occurring characters

Value	Count	Frequency (%)
1	28	38.9%
8	19	26.4%
9	14	19.4%
3	3	4.2%
5	2	2.8%
0	2	2.8%
6	2	2.8%
7	2	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	28	38.9%
8	19	26.4%
9	14	19.4%
3	3	4.2%
5	2	2.8%
0	2	2.8%
6	2	2.8%
7	2	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	72	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	28	38.9%
8	19	26.4%
9	14	19.4%
3	3	4.2%
5	2	2.8%
0	2	2.8%
6	2	2.8%
7	2	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	28	38.9%
8	19	26.4%
9	14	19.4%
3	3	4.2%
5	2	2.8%
0	2	2.8%
6	2	2.8%
7	2	2.8%

grant_amount
Categorical

Distinct	34
Distinct (%)	54.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1200	7
1500	7
	5
1020	4
1300	3
Other values (29)	36

Length

Max length	4
Median length	4
Mean length	3.1774194
Min length	0

Characters and Unicode

Total characters	197
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22 ?
Unique (%)	35.5%

Sample

1st row
2nd row	34
3rd row	300
4th row	320
5th row	480

Common Values

Value	Count	Frequency (%)
1200	7	11.3%
1500	7	11.3%
	5	8.1%
1020	4	6.5%
1300	3	4.8%
60	2	3.2%
1140	2	3.2%
900	2	3.2%
320	2	3.2%
30	2	3.2%
Other values (24)	26	41.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1200	7	12.3%
1500	7	12.3%
1020	4	7.0%
1300	3	5.3%
320	2	3.5%
919	2	3.5%
30	2	3.5%
1326	2	3.5%
900	2	3.5%
1140	2	3.5%
Other values (23)	24	42.1%

Most occurring characters

Value	Count	Frequency (%)
0	72	36.5%
1	41	20.8%
2	19	9.6%
3	19	9.6%
5	14	7.1%
4	12	6.1%
6	8	4.1%
9	8	4.1%
8	3	1.5%
7	1	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	197	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72	36.5%
1	41	20.8%
2	19	9.6%
3	19	9.6%
5	14	7.1%
4	12	6.1%
6	8	4.1%
9	8	4.1%
8	3	1.5%
7	1	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	197	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72	36.5%
1	41	20.8%
2	19	9.6%
3	19	9.6%
5	14	7.1%
4	12	6.1%
6	8	4.1%
9	8	4.1%
8	3	1.5%
7	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72	36.5%
1	41	20.8%
2	19	9.6%
3	19	9.6%
5	14	7.1%
4	12	6.1%
6	8	4.1%
9	8	4.1%
8	3	1.5%
7	1	0.5%

have_goal
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	61
0	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	61	98.4%
0	1	1.6%

specific_goal
Categorical

Distinct	8
Distinct (%)	12.9%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

2	43
6	6
9	5
1	4
4	1
Other values (3)	3

Length

Max length	3
Median length	1
Mean length	1.016129
Min length	0

Characters and Unicode

Total characters	63
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	6.5%

Sample

1st row	4
2nd row	6
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	43	69.4%
6	6	9.7%
9	5	8.1%
1	4	6.5%
4	1	1.6%
777	1	1.6%
	1	1.6%
3	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	43	70.5%
6	6	9.8%
9	5	8.2%
1	4	6.6%
4	1	1.6%
777	1	1.6%
3	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
2	43	68.3%
6	6	9.5%
9	5	7.9%
1	4	6.3%
7	3	4.8%
4	1	1.6%
3	1	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	63	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	43	68.3%
6	6	9.5%
9	5	7.9%
1	4	6.3%
7	3	4.8%
4	1	1.6%
3	1	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	63	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	43	68.3%
6	6	9.5%
9	5	7.9%
1	4	6.3%
7	3	4.8%
4	1	1.6%
3	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	63	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	43	68.3%
6	6	9.5%
9	5	7.9%
1	4	6.3%
7	3	4.8%
4	1	1.6%
3	1	1.6%

specific_goal_other
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	61
Rearing of sheep	1

Length

Max length	16
Median length	0
Mean length	0.25806452
Min length	0

Characters and Unicode

Total characters	16
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	61	98.4%
Rearing of sheep	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rearing	1	33.3%
of	1	33.3%
sheep	1	33.3%

Most occurring characters

Value	Count	Frequency (%)
e	3	18.8%
	2	12.5%
R	1	6.2%
a	1	6.2%
r	1	6.2%
i	1	6.2%
n	1	6.2%
g	1	6.2%
o	1	6.2%
f	1	6.2%
Other values (3)	3	18.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13	81.2%
Space Separator	2	12.5%
Uppercase Letter	1	6.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3	23.1%
a	1	7.7%
r	1	7.7%
i	1	7.7%
n	1	7.7%
g	1	7.7%
o	1	7.7%
f	1	7.7%
s	1	7.7%
h	1	7.7%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Uppercase Letter

Value	Count	Frequency (%)
R	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14	87.5%
Common	2	12.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3	21.4%
R	1	7.1%
a	1	7.1%
r	1	7.1%
i	1	7.1%
n	1	7.1%
g	1	7.1%
o	1	7.1%
f	1	7.1%
s	1	7.1%
Other values (2)	2	14.3%

Common

Value	Count	Frequency (%)
	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3	18.8%
	2	12.5%
R	1	6.2%
a	1	6.2%
r	1	6.2%
i	1	6.2%
n	1	6.2%
g	1	6.2%
o	1	6.2%
f	1	6.2%
Other values (3)	3	18.8%

goal_timeline
Categorical

Distinct	13
Distinct (%)	21.0%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

12	23
6	9
3	8
	6
36	3
Other values (8)	13

Length

Max length	3
Median length	2
Mean length	1.4193548
Min length	0

Characters and Unicode

Total characters	88
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	8.1%

Sample

1st row	4
2nd row	14
3rd row	3
4th row	12
5th row	6

Common Values

Value	Count	Frequency (%)
12	23	37.1%
6	9	14.5%
3	8	12.9%
	6	9.7%
36	3	4.8%
2	3	4.8%
7	3	4.8%
24	2	3.2%
4	1	1.6%
14	1	1.6%
Other values (3)	3	4.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
12	23	41.1%
6	9	16.1%
3	8	14.3%
36	3	5.4%
2	3	5.4%
7	3	5.4%
24	2	3.6%
4	1	1.8%
14	1	1.8%
999	1	1.8%
Other values (2)	2	3.6%

Most occurring characters

Value	Count	Frequency (%)
2	28	31.8%
1	25	28.4%
6	12	13.6%
3	11	12.5%
4	4	4.5%
7	3	3.4%
9	3	3.4%
5	1	1.1%
8	1	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	88	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	28	31.8%
1	25	28.4%
6	12	13.6%
3	11	12.5%
4	4	4.5%
7	3	3.4%
9	3	3.4%
5	1	1.1%
8	1	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	88	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	28	31.8%
1	25	28.4%
6	12	13.6%
3	11	12.5%
4	4	4.5%
7	3	3.4%
9	3	3.4%
5	1	1.1%
8	1	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	88	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	28	31.8%
1	25	28.4%
6	12	13.6%
3	11	12.5%
4	4	4.5%
7	3	3.4%
9	3	3.4%
5	1	1.1%
8	1	1.1%

goal_cost
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	53
0	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	53	85.5%
0	9	14.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	53	85.5%
0	9	14.5%

Most occurring characters

Value	Count	Frequency (%)
1	53	85.5%
0	9	14.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	53	85.5%
0	9	14.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	53	85.5%
0	9	14.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	53	85.5%
0	9	14.5%

accomplish_goal
Categorical

Distinct	9
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	25
1 3	16
	9
1 777	4
1 2 2003	3
Other values (4)	5

Length

Max length	8
Median length	5
Mean length	2.0967742
Min length	0

Characters and Unicode

Total characters	130
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	4.8%

Sample

1st row
2nd row	2 3
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	25	40.3%
1 3	16	25.8%
	9	14.5%
1 777	4	6.5%
1 2 2003	3	4.8%
777	2	3.2%
2 3	1	1.6%
3	1	1.6%
1 2	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	49	60.5%
3	18	22.2%
777	6	7.4%
2	5	6.2%
2003	3	3.7%

Most occurring characters

Value	Count	Frequency (%)
1	49	37.7%
	28	21.5%
3	21	16.2%
7	18	13.8%
2	8	6.2%
0	6	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	102	78.5%
Space Separator	28	21.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	49	48.0%
3	21	20.6%
7	18	17.6%
2	8	7.8%
0	6	5.9%

Space Separator

Value	Count	Frequency (%)
	28	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	130	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	49	37.7%
	28	21.5%
3	21	16.2%
7	18	13.8%
2	8	6.2%
0	6	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	49	37.7%
	28	21.5%
3	21	16.2%
7	18	13.8%
2	8	6.2%
0	6	4.6%

accomplish_goal_other
Categorical

Distinct	7
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	56
Sell farm products	1
Village savings and loans scheme	1
Reinvest	1
Re lnvestment	1
Other values (2)	2

Length

Max length	32
Median length	0
Mean length	1.8709677
Min length	0

Characters and Unicode

Total characters	116
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	9.7%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	56	90.3%
Sell farm products	1	1.6%
Village savings and loans scheme	1	1.6%
Reinvest	1	1.6%
Re lnvestment	1	1.6%
If I receive my Guinea fowls	1	1.6%
Charcoal burning	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sell	1	5.3%
lnvestment	1	5.3%
charcoal	1	5.3%
fowls	1	5.3%
guinea	1	5.3%
my	1	5.3%
receive	1	5.3%
i	1	5.3%
if	1	5.3%
re	1	5.3%
Other values (9)	9	47.4%

Most occurring characters

Value	Count	Frequency (%)
	14	12.1%
e	13	11.2%
n	9	7.8%
s	8	6.9%
l	8	6.9%
a	8	6.9%
i	6	5.2%
r	5	4.3%
m	4	3.4%
v	4	3.4%
Other values (18)	37	31.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	94	81.0%
Space Separator	14	12.1%
Uppercase Letter	8	6.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	13	13.8%
n	9	9.6%
s	8	8.5%
l	8	8.5%
a	8	8.5%
i	6	6.4%
r	5	5.3%
m	4	4.3%
v	4	4.3%
o	4	4.3%
Other values (11)	25	26.6%

Uppercase Letter

Value	Count	Frequency (%)
R	2	25.0%
I	2	25.0%
G	1	12.5%
C	1	12.5%
S	1	12.5%
V	1	12.5%

Space Separator

Value	Count	Frequency (%)
	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	102	87.9%
Common	14	12.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	13	12.7%
n	9	8.8%
s	8	7.8%
l	8	7.8%
a	8	7.8%
i	6	5.9%
r	5	4.9%
m	4	3.9%
v	4	3.9%
o	4	3.9%
Other values (17)	33	32.4%

Common

Value	Count	Frequency (%)
	14	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	116	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	14	12.1%
e	13	11.2%
n	9	7.8%
s	8	6.9%
l	8	6.9%
a	8	6.9%
i	6	5.2%
r	5	4.3%
m	4	3.4%
v	4	3.4%
Other values (18)	37	31.9%

savings_frequency
Categorical

Distinct	3
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	52
	9
0	1

Length

Max length	1
Median length	1
Mean length	0.85483871
Min length	0

Characters and Unicode

Total characters	53
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	52	83.9%
	9	14.5%
0	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	52	98.1%
0	1	1.9%

Most occurring characters

Value	Count	Frequency (%)
1	52	98.1%
0	1	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	53	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	52	98.1%
0	1	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	53	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	52	98.1%
0	1	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	53	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	52	98.1%
0	1	1.9%

savings_frequency_often
Categorical

Distinct	8
Distinct (%)	12.9%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

2	31
3	11
	10
1	5
4	2
Other values (3)	3

Length

Max length	3
Median length	1
Mean length	0.90322581
Min length	0

Characters and Unicode

Total characters	56
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	4.8%

Sample

1st row
2nd row	4
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	31	50.0%
3	11	17.7%
	10	16.1%
1	5	8.1%
4	2	3.2%
5	1	1.6%
999	1	1.6%
777	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	31	59.6%
3	11	21.2%
1	5	9.6%
4	2	3.8%
5	1	1.9%
999	1	1.9%
777	1	1.9%

Most occurring characters

Value	Count	Frequency (%)
2	31	55.4%
3	11	19.6%
1	5	8.9%
9	3	5.4%
7	3	5.4%
4	2	3.6%
5	1	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	56	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	31	55.4%
3	11	19.6%
1	5	8.9%
9	3	5.4%
7	3	5.4%
4	2	3.6%
5	1	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	56	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	31	55.4%
3	11	19.6%
1	5	8.9%
9	3	5.4%
7	3	5.4%
4	2	3.6%
5	1	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	31	55.4%
3	11	19.6%
1	5	8.9%
9	3	5.4%
7	3	5.4%
4	2	3.6%
5	1	1.8%

savings_frequency_often_other
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	61
Every two weeks	1

Length

Max length	15
Median length	0
Mean length	0.24193548
Min length	0

Characters and Unicode

Total characters	15
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	61	98.4%
Every two weeks	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
every	1	33.3%
two	1	33.3%
weeks	1	33.3%

Most occurring characters

Value	Count	Frequency (%)
e	3	20.0%
	2	13.3%
w	2	13.3%
E	1	6.7%
v	1	6.7%
r	1	6.7%
y	1	6.7%
t	1	6.7%
o	1	6.7%
k	1	6.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12	80.0%
Space Separator	2	13.3%
Uppercase Letter	1	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3	25.0%
w	2	16.7%
v	1	8.3%
r	1	8.3%
y	1	8.3%
t	1	8.3%
o	1	8.3%
k	1	8.3%
s	1	8.3%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Uppercase Letter

Value	Count	Frequency (%)
E	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13	86.7%
Common	2	13.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3	23.1%
w	2	15.4%
E	1	7.7%
v	1	7.7%
r	1	7.7%
y	1	7.7%
t	1	7.7%
o	1	7.7%
k	1	7.7%
s	1	7.7%

Common

Value	Count	Frequency (%)
	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3	20.0%
	2	13.3%
w	2	13.3%
E	1	6.7%
v	1	6.7%
r	1	6.7%
y	1	6.7%
t	1	6.7%
o	1	6.7%
k	1	6.7%

savings_amount
Categorical

Distinct	3
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	50
	10
0	2

Length

Max length	1
Median length	1
Mean length	0.83870968
Min length	0

Characters and Unicode

Total characters	52
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	50	80.6%
	10	16.1%
0	2	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	50	96.2%
0	2	3.8%

Most occurring characters

Value	Count	Frequency (%)
1	50	96.2%
0	2	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	52	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	50	96.2%
0	2	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	52	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	50	96.2%
0	2	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	52	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	50	96.2%
0	2	3.8%

savings_amount_howmuch
Categorical

Distinct	19
Distinct (%)	30.6%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

10	13
	12
20	5
5	5
100	4
Other values (14)	23

Length

Max length	5
Median length	4
Mean length	1.8387097
Min length	0

Characters and Unicode

Total characters	114
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	14.5%

Sample

1st row
2nd row	99999
3rd row	2
4th row	10
5th row	20

Common Values

Value	Count	Frequency (%)
10	13	21.0%
	12	19.4%
20	5	8.1%
5	5	8.1%
100	4	6.5%
120	3	4.8%
2	3	4.8%
30	3	4.8%
50	3	4.8%
150	2	3.2%
Other values (9)	9	14.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
10	13	26.0%
5	5	10.0%
20	5	10.0%
100	4	8.0%
120	3	6.0%
2	3	6.0%
30	3	6.0%
50	3	6.0%
150	2	4.0%
1000	1	2.0%
Other values (8)	8	16.0%

Most occurring characters

Value	Count	Frequency (%)
0	51	44.7%
1	25	21.9%
2	13	11.4%
5	10	8.8%
9	5	4.4%
3	4	3.5%
8	2	1.8%
4	2	1.8%
6	2	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	114	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	51	44.7%
1	25	21.9%
2	13	11.4%
5	10	8.8%
9	5	4.4%
3	4	3.5%
8	2	1.8%
4	2	1.8%
6	2	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	114	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	51	44.7%
1	25	21.9%
2	13	11.4%
5	10	8.8%
9	5	4.4%
3	4	3.5%
8	2	1.8%
4	2	1.8%
6	2	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	114	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	51	44.7%
1	25	21.9%
2	13	11.4%
5	10	8.8%
9	5	4.4%
3	4	3.5%
8	2	1.8%
4	2	1.8%
6	2	1.8%

save_30days
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	48
0	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	48	77.4%
0	14	22.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	48	77.4%
0	14	22.6%

Most occurring characters

Value	Count	Frequency (%)
1	48	77.4%
0	14	22.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	48	77.4%
0	14	22.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	48	77.4%
0	14	22.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	48	77.4%
0	14	22.6%

save_purpose_30days
Categorical

Distinct	17
Distinct (%)	27.4%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	14
4	7
1 2 2005	6
1 2	5
1	4
Other values (12)	26

Length

Max length	9
Median length	8
Mean length	2.8709677
Min length	0

Characters and Unicode

Total characters	178
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	8.1%

Sample

1st row	3
2nd row	2 4
3rd row	5
4th row	2 5
5th row	5

Common Values

Value	Count	Frequency (%)
	14	22.6%
4	7	11.3%
1 2 2005	6	9.7%
1 2	5	8.1%
1	4	6.5%
5	4	6.5%
2 4	4	6.5%
2 5	3	4.8%
1 2 2004	3	4.8%
1 2 0777	3	4.8%
Other values (7)	9	14.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2	28	29.8%
1	25	26.6%
4	13	13.8%
5	13	13.8%
2005	6	6.4%
2004	3	3.2%
0777	3	3.2%
3	2	2.1%
777	1	1.1%

Most occurring characters

Value	Count	Frequency (%)
	46	25.8%
2	37	20.8%
1	25	14.0%
0	21	11.8%
5	19	10.7%
4	16	9.0%
7	12	6.7%
3	2	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132	74.2%
Space Separator	46	25.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	37	28.0%
1	25	18.9%
0	21	15.9%
5	19	14.4%
4	16	12.1%
7	12	9.1%
3	2	1.5%

Space Separator

Value	Count	Frequency (%)
	46	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	46	25.8%
2	37	20.8%
1	25	14.0%
0	21	11.8%
5	19	10.7%
4	16	9.0%
7	12	6.7%
3	2	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	46	25.8%
2	37	20.8%
1	25	14.0%
0	21	11.8%
5	19	10.7%
4	16	9.0%
7	12	6.7%
3	2	1.1%

save_purpose_30days_other
Categorical

Distinct	4
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	58
Household feeding	2
Funerals and household feeding	1
Household expenses	1

Length

Max length	30
Median length	0
Mean length	1.3225806
Min length	0

Characters and Unicode

Total characters	82
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	3.2%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	58	93.5%
Household feeding	2	3.2%
Funerals and household feeding	1	1.6%
Household expenses	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
household	4	40.0%
feeding	3	30.0%
funerals	1	10.0%
and	1	10.0%
expenses	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
e	14	17.1%
d	8	9.8%
o	8	9.8%
s	7	8.5%
n	6	7.3%
	6	7.3%
u	5	6.1%
h	5	6.1%
l	5	6.1%
H	3	3.7%
Other values (8)	15	18.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	72	87.8%
Space Separator	6	7.3%
Uppercase Letter	4	4.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	14	19.4%
d	8	11.1%
o	8	11.1%
s	7	9.7%
n	6	8.3%
u	5	6.9%
h	5	6.9%
l	5	6.9%
g	3	4.2%
f	3	4.2%
Other values (5)	8	11.1%

Uppercase Letter

Value	Count	Frequency (%)
H	3	75.0%
F	1	25.0%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	76	92.7%
Common	6	7.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14	18.4%
d	8	10.5%
o	8	10.5%
s	7	9.2%
n	6	7.9%
u	5	6.6%
h	5	6.6%
l	5	6.6%
H	3	3.9%
g	3	3.9%
Other values (7)	12	15.8%

Common

Value	Count	Frequency (%)
	6	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	14	17.1%
d	8	9.8%
o	8	9.8%
s	7	8.5%
n	6	7.3%
	6	7.3%
u	5	6.1%
h	5	6.1%
l	5	6.1%
H	3	3.7%
Other values (8)	15	18.3%

savings_times_30days
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

3	27
2	14
	14
777	5
1	2

Length

Max length	3
Median length	1
Mean length	0.93548387
Min length	0

Characters and Unicode

Total characters	58
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	27	43.5%
2	14	22.6%
	14	22.6%
777	5	8.1%
1	2	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	27	56.2%
2	14	29.2%
777	5	10.4%
1	2	4.2%

Most occurring characters

Value	Count	Frequency (%)
3	27	46.6%
7	15	25.9%
2	14	24.1%
1	2	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	58	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	27	46.6%
7	15	25.9%
2	14	24.1%
1	2	3.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	58	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	27	46.6%
7	15	25.9%
2	14	24.1%
1	2	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	27	46.6%
7	15	25.9%
2	14	24.1%
1	2	3.4%

savings_times_30days_other
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	57
8	2
30	1
12	1
15	1

Length

Max length	2
Median length	0
Mean length	0.12903226
Min length	0

Characters and Unicode

Total characters	8
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	4.8%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	57	91.9%
8	2	3.2%
30	1	1.6%
12	1	1.6%
15	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
8	2	40.0%
30	1	20.0%
12	1	20.0%
15	1	20.0%

Most occurring characters

Value	Count	Frequency (%)
8	2	25.0%
1	2	25.0%
3	1	12.5%
0	1	12.5%
2	1	12.5%
5	1	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	2	25.0%
1	2	25.0%
3	1	12.5%
0	1	12.5%
2	1	12.5%
5	1	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	8	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	2	25.0%
1	2	25.0%
3	1	12.5%
0	1	12.5%
2	1	12.5%
5	1	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	2	25.0%
1	2	25.0%
3	1	12.5%
0	1	12.5%
2	1	12.5%
5	1	12.5%

savings_amount_30days
Categorical

Distinct	19
Distinct (%)	30.6%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	14
40	9
20	7
120	4
30	4
Other values (14)	24

Length

Max length	4
Median length	3
Mean length	1.8387097
Min length	0

Characters and Unicode

Total characters	114
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	11.3%

Sample

1st row	4
2nd row	3333
3rd row	120
4th row	40
5th row	80

Common Values

Value	Count	Frequency (%)
	14	22.6%
40	9	14.5%
20	7	11.3%
120	4	6.5%
30	4	6.5%
80	3	4.8%
150	3	4.8%
50	3	4.8%
200	2	3.2%
100	2	3.2%
Other values (9)	11	17.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
40	9	18.8%
20	7	14.6%
120	4	8.3%
30	4	8.3%
80	3	6.2%
150	3	6.2%
50	3	6.2%
300	2	4.2%
60	2	4.2%
100	2	4.2%
Other values (8)	9	18.8%

Most occurring characters

Value	Count	Frequency (%)
0	53	46.5%
2	13	11.4%
1	13	11.4%
4	10	8.8%
3	10	8.8%
5	7	6.1%
8	4	3.5%
6	4	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	114	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	53	46.5%
2	13	11.4%
1	13	11.4%
4	10	8.8%
3	10	8.8%
5	7	6.1%
8	4	3.5%
6	4	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	114	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	53	46.5%
2	13	11.4%
1	13	11.4%
4	10	8.8%
3	10	8.8%
5	7	6.1%
8	4	3.5%
6	4	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	114	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	53	46.5%
2	13	11.4%
1	13	11.4%
4	10	8.8%
3	10	8.8%
5	7	6.1%
8	4	3.5%
6	4	3.5%

savings_place_30days
Categorical

Distinct	11
Distinct (%)	17.7%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	24
	14
1 2	7
777	5
1 3	4
Other values (6)	8

Length

Max length	5
Median length	3
Mean length	1.516129
Min length	0

Characters and Unicode

Total characters	94
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	8.1%

Sample

1st row	1
2nd row	2 3
3rd row	1
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
1	24	38.7%
	14	22.6%
1 2	7	11.3%
777	5	8.1%
1 3	4	6.5%
3	3	4.8%
2 3	1	1.6%
3 4	1	1.6%
2 777	1	1.6%
1 777	1	1.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	37	57.8%
2	9	14.1%
3	9	14.1%
777	7	10.9%
4	1	1.6%
5	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
1	37	39.4%
7	21	22.3%
	16	17.0%
2	9	9.6%
3	9	9.6%
4	1	1.1%
5	1	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	78	83.0%
Space Separator	16	17.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	37	47.4%
7	21	26.9%
2	9	11.5%
3	9	11.5%
4	1	1.3%
5	1	1.3%

Space Separator

Value	Count	Frequency (%)
	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	94	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	37	39.4%
7	21	22.3%
	16	17.0%
2	9	9.6%
3	9	9.6%
4	1	1.1%
5	1	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	37	39.4%
7	21	22.3%
	16	17.0%
2	9	9.6%
3	9	9.6%
4	1	1.1%
5	1	1.1%

savings_place_30days_other
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	55
Group savings (not with financial institution)	3
Group savings (not with financial institutions)	2
Mobile money accounts	1
Mobile money	1

Length

Max length	47
Median length	0
Mean length	4.2741935
Min length	0

Characters and Unicode

Total characters	265
Distinct characters	25
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	3.2%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	55	88.7%
Group savings (not with financial institution)	3	4.8%
Group savings (not with financial institutions)	2	3.2%
Mobile money accounts	1	1.6%
Mobile money	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
group	5	14.3%
savings	5	14.3%
not	5	14.3%
with	5	14.3%
financial	5	14.3%
institution	3	8.6%
institutions	2	5.7%
mobile	2	5.7%
money	2	5.7%
accounts	1	2.9%

Most occurring characters

Value	Count	Frequency (%)
i	37	14.0%
n	33	12.5%
	28	10.6%
t	26	9.8%
o	20	7.5%
s	18	6.8%
a	16	6.0%
u	11	4.2%
l	7	2.6%
c	7	2.6%
Other values (15)	62	23.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	220	83.0%
Space Separator	28	10.6%
Uppercase Letter	7	2.6%
Close Punctuation	5	1.9%
Open Punctuation	5	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	37	16.8%
n	33	15.0%
t	26	11.8%
o	20	9.1%
s	18	8.2%
a	16	7.3%
u	11	5.0%
l	7	3.2%
c	7	3.2%
h	5	2.3%
Other values (10)	40	18.2%

Uppercase Letter

Value	Count	Frequency (%)
G	5	71.4%
M	2	28.6%

Space Separator

Value	Count	Frequency (%)
	28	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	227	85.7%
Common	38	14.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	37	16.3%
n	33	14.5%
t	26	11.5%
o	20	8.8%
s	18	7.9%
a	16	7.0%
u	11	4.8%
l	7	3.1%
c	7	3.1%
G	5	2.2%
Other values (12)	47	20.7%

Common

Value	Count	Frequency (%)
	28	73.7%
)	5	13.2%
(	5	13.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	265	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	37	14.0%
n	33	12.5%
	28	10.6%
t	26	9.8%
o	20	7.5%
s	18	6.8%
a	16	6.0%
u	11	4.2%
l	7	2.6%
c	7	2.6%
Other values (15)	62	23.4%

save_12months
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	50
0	12

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	50	80.6%
0	12	19.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	50	80.6%
0	12	19.4%

Most occurring characters

Value	Count	Frequency (%)
1	50	80.6%
0	12	19.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	50	80.6%
0	12	19.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	50	80.6%
0	12	19.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	50	80.6%
0	12	19.4%

save_purpose_12months
Categorical

Distinct	19
Distinct (%)	30.6%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	12
1 2	11
1 2 2005	6
2 4	4
4	3
Other values (14)	26

Length

Max length	9
Median length	8
Mean length	3.4677419
Min length	0

Characters and Unicode

Total characters	215
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	9.7%

Sample

1st row	4
2nd row
3rd row	5
4th row	2
5th row	5

Common Values

Value	Count	Frequency (%)
	12	19.4%
1 2	11	17.7%
1 2 2005	6	9.7%
2 4	4	6.5%
4	3	4.8%
1 2 2004	3	4.8%
4 5	3	4.8%
1 2 0777	3	4.8%
2	3	4.8%
1 2 4 5	2	3.2%
Other values (9)	12	19.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2	36	32.4%
1	30	27.0%
5	14	12.6%
4	13	11.7%
2005	6	5.4%
2004	3	2.7%
0777	3	2.7%
3	2	1.8%
777	2	1.8%
2006	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
	61	28.4%
2	46	21.4%
1	30	14.0%
0	23	10.7%
5	20	9.3%
4	16	7.4%
7	16	7.4%
3	2	0.9%
6	1	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	154	71.6%
Space Separator	61	28.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	46	29.9%
1	30	19.5%
0	23	14.9%
5	20	13.0%
4	16	10.4%
7	16	10.4%
3	2	1.3%
6	1	0.6%

Space Separator

Value	Count	Frequency (%)
	61	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	215	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	61	28.4%
2	46	21.4%
1	30	14.0%
0	23	10.7%
5	20	9.3%
4	16	7.4%
7	16	7.4%
3	2	0.9%
6	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	215	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	61	28.4%
2	46	21.4%
1	30	14.0%
0	23	10.7%
5	20	9.3%
4	16	7.4%
7	16	7.4%
3	2	0.9%
6	1	0.5%

save_purpose_12months_other
Categorical

Distinct	4
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	57
Household feeding	3
Funerals and household expenses	1
Household expenses	1

Length

Max length	31
Median length	0
Mean length	1.6129032
Min length	0

Characters and Unicode

Total characters	100
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	3.2%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	57	91.9%
Household feeding	3	4.8%
Funerals and household expenses	1	1.6%
Household expenses	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
household	5	41.7%
feeding	3	25.0%
expenses	2	16.7%
funerals	1	8.3%
and	1	8.3%

Most occurring characters

Value	Count	Frequency (%)
e	18	18.0%
s	10	10.0%
o	10	10.0%
d	9	9.0%
n	7	7.0%
	7	7.0%
u	6	6.0%
h	6	6.0%
l	6	6.0%
H	4	4.0%
Other values (8)	17	17.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	88	88.0%
Space Separator	7	7.0%
Uppercase Letter	5	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	18	20.5%
s	10	11.4%
o	10	11.4%
d	9	10.2%
n	7	8.0%
u	6	6.8%
h	6	6.8%
l	6	6.8%
g	3	3.4%
f	3	3.4%
Other values (5)	10	11.4%

Uppercase Letter

Value	Count	Frequency (%)
H	4	80.0%
F	1	20.0%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	93	93.0%
Common	7	7.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	18	19.4%
s	10	10.8%
o	10	10.8%
d	9	9.7%
n	7	7.5%
u	6	6.5%
h	6	6.5%
l	6	6.5%
H	4	4.3%
g	3	3.2%
Other values (7)	14	15.1%

Common

Value	Count	Frequency (%)
	7	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	18	18.0%
s	10	10.0%
o	10	10.0%
d	9	9.0%
n	7	7.0%
	7	7.0%
u	6	6.0%
h	6	6.0%
l	6	6.0%
H	4	4.0%
Other values (8)	17	17.0%

savings_times_12months
Categorical

Distinct	6
Distinct (%)	9.7%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

3	21
777	19
	12
2	7
999	2

Length

Max length	3
Median length	1
Mean length	1.483871
Min length	0

Characters and Unicode

Total characters	92
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	2
2nd row
3rd row	999
4th row	777
5th row	999

Common Values

Value	Count	Frequency (%)
3	21	33.9%
777	19	30.6%
	12	19.4%
2	7	11.3%
999	2	3.2%
1	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	21	42.0%
777	19	38.0%
2	7	14.0%
999	2	4.0%
1	1	2.0%

Most occurring characters

Value	Count	Frequency (%)
7	57	62.0%
3	21	22.8%
2	7	7.6%
9	6	6.5%
1	1	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	92	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	57	62.0%
3	21	22.8%
2	7	7.6%
9	6	6.5%
1	1	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	92	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	57	62.0%
3	21	22.8%
2	7	7.6%
9	6	6.5%
1	1	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	57	62.0%
3	21	22.8%
2	7	7.6%
9	6	6.5%
1	1	1.1%

savings_times_12months_other
Categorical

Distinct	13
Distinct (%)	21.0%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	43
48	4
12	4
52	2
96	1
Other values (8)	8

Length

Max length	3
Median length	0
Mean length	0.61290323
Min length	0

Characters and Unicode

Total characters	38
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	14.5%

Sample

1st row
2nd row
3rd row
4th row	48
5th row

Common Values

Value	Count	Frequency (%)
	43	69.4%
48	4	6.5%
12	4	6.5%
52	2	3.2%
96	1	1.6%
36	1	1.6%
365	1	1.6%
7	1	1.6%
15	1	1.6%
14	1	1.6%
Other values (3)	3	4.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
48	4	21.1%
12	4	21.1%
52	2	10.5%
96	1	5.3%
36	1	5.3%
365	1	5.3%
7	1	5.3%
15	1	5.3%
14	1	5.3%
27	1	5.3%
Other values (2)	2	10.5%

Most occurring characters

Value	Count	Frequency (%)
1	7	18.4%
2	7	18.4%
4	5	13.2%
5	5	13.2%
8	4	10.5%
6	3	7.9%
7	3	7.9%
3	2	5.3%
9	1	2.6%
0	1	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7	18.4%
2	7	18.4%
4	5	13.2%
5	5	13.2%
8	4	10.5%
6	3	7.9%
7	3	7.9%
3	2	5.3%
9	1	2.6%
0	1	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	38	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	7	18.4%
2	7	18.4%
4	5	13.2%
5	5	13.2%
8	4	10.5%
6	3	7.9%
7	3	7.9%
3	2	5.3%
9	1	2.6%
0	1	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	7	18.4%
2	7	18.4%
4	5	13.2%
5	5	13.2%
8	4	10.5%
6	3	7.9%
7	3	7.9%
3	2	5.3%
9	1	2.6%
0	1	2.6%

savings_amount_12months
Categorical

Distinct	34
Distinct (%)	54.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	12
60	5
240	4
120	3
480	2
Other values (29)	36

Length

Max length	5
Median length	4
Mean length	2.3870968
Min length	0

Characters and Unicode

Total characters	148
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22 ?
Unique (%)	35.5%

Sample

1st row	4
2nd row
3rd row	750
4th row	48
5th row	200

Common Values

Value	Count	Frequency (%)
	12	19.4%
60	5	8.1%
240	4	6.5%
120	3	4.8%
480	2	3.2%
250	2	3.2%
100	2	3.2%
50	2	3.2%
300	2	3.2%
1280	2	3.2%
Other values (24)	26	41.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
60	5	10.0%
240	4	8.0%
120	3	6.0%
300	2	4.0%
200	2	4.0%
1280	2	4.0%
48	2	4.0%
50	2	4.0%
100	2	4.0%
250	2	4.0%
Other values (23)	24	48.0%

Most occurring characters

Value	Count	Frequency (%)
0	56	37.8%
2	25	16.9%
4	15	10.1%
1	15	10.1%
5	8	5.4%
9	7	4.7%
6	6	4.1%
8	6	4.1%
3	6	4.1%
7	4	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	148	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	56	37.8%
2	25	16.9%
4	15	10.1%
1	15	10.1%
5	8	5.4%
9	7	4.7%
6	6	4.1%
8	6	4.1%
3	6	4.1%
7	4	2.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	148	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	56	37.8%
2	25	16.9%
4	15	10.1%
1	15	10.1%
5	8	5.4%
9	7	4.7%
6	6	4.1%
8	6	4.1%
3	6	4.1%
7	4	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	148	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	56	37.8%
2	25	16.9%
4	15	10.1%
1	15	10.1%
5	8	5.4%
9	7	4.7%
6	6	4.1%
8	6	4.1%
3	6	4.1%
7	4	2.7%

savings_place_12months
Categorical

Distinct	12
Distinct (%)	19.4%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	22
	12
777	6
1 3	6
3	4
Other values (7)	12

Length

Max length	8
Median length	5
Mean length	1.7258065
Min length	0

Characters and Unicode

Total characters	107
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	6.5%

Sample

1st row	1
2nd row
3rd row	1
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
1	22	35.5%
	12	19.4%
777	6	9.7%
1 3	6	9.7%
3	4	6.5%
1 2	4	6.5%
2 777	2	3.2%
1 5	2	3.2%
3 4	1	1.6%
2	1	1.6%
Other values (2)	2	3.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	36	52.9%
3	11	16.2%
777	9	13.2%
2	8	11.8%
5	2	2.9%
4	1	1.5%
2003	1	1.5%

Most occurring characters

Value	Count	Frequency (%)
1	36	33.6%
7	27	25.2%
	18	16.8%
3	12	11.2%
2	9	8.4%
5	2	1.9%
0	2	1.9%
4	1	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	89	83.2%
Space Separator	18	16.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	36	40.4%
7	27	30.3%
3	12	13.5%
2	9	10.1%
5	2	2.2%
0	2	2.2%
4	1	1.1%

Space Separator

Value	Count	Frequency (%)
	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	107	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	36	33.6%
7	27	25.2%
	18	16.8%
3	12	11.2%
2	9	8.4%
5	2	1.9%
0	2	1.9%
4	1	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	107	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	36	33.6%
7	27	25.2%
	18	16.8%
3	12	11.2%
2	9	8.4%
5	2	1.9%
0	2	1.9%
4	1	0.9%

savings_place_12months_other
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	55
Group savings (not with financial institutions)	3
Group savings (not with financial institution)	2
9Mobile money accounts	1
Mobile money	1

Length

Max length	47
Median length	0
Mean length	4.3064516
Min length	0

Characters and Unicode

Total characters	267
Distinct characters	26
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	3.2%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	55	88.7%
Group savings (not with financial institutions)	3	4.8%
Group savings (not with financial institution)	2	3.2%
9Mobile money accounts	1	1.6%
Mobile money	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
group	5	14.3%
savings	5	14.3%
not	5	14.3%
with	5	14.3%
financial	5	14.3%
institutions	3	8.6%
institution	2	5.7%
money	2	5.7%
9mobile	1	2.9%
accounts	1	2.9%

Most occurring characters

Value	Count	Frequency (%)
i	37	13.9%
n	33	12.4%
	28	10.5%
t	26	9.7%
o	20	7.5%
s	19	7.1%
a	16	6.0%
u	11	4.1%
l	7	2.6%
c	7	2.6%
Other values (16)	63	23.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	221	82.8%
Space Separator	28	10.5%
Uppercase Letter	7	2.6%
Close Punctuation	5	1.9%
Open Punctuation	5	1.9%
Decimal Number	1	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	37	16.7%
n	33	14.9%
t	26	11.8%
o	20	9.0%
s	19	8.6%
a	16	7.2%
u	11	5.0%
l	7	3.2%
c	7	3.2%
w	5	2.3%
Other values (10)	40	18.1%

Uppercase Letter

Value	Count	Frequency (%)
G	5	71.4%
M	2	28.6%

Space Separator

Value	Count	Frequency (%)
	28	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Decimal Number

Value	Count	Frequency (%)
9	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	228	85.4%
Common	39	14.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	37	16.2%
n	33	14.5%
t	26	11.4%
o	20	8.8%
s	19	8.3%
a	16	7.0%
u	11	4.8%
l	7	3.1%
c	7	3.1%
w	5	2.2%
Other values (12)	47	20.6%

Common

Value	Count	Frequency (%)
	28	71.8%
)	5	12.8%
(	5	12.8%
9	1	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	267	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	37	13.9%
n	33	12.4%
	28	10.5%
t	26	9.7%
o	20	7.5%
s	19	7.1%
a	16	6.0%
u	11	4.1%
l	7	2.6%
c	7	2.6%
Other values (16)	63	23.6%

save_ability
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	24
2	16
3	15
4	5
888	2

Length

Max length	3
Median length	1
Mean length	1.0645161
Min length	1

Characters and Unicode

Total characters	66
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	24	38.7%
2	16	25.8%
3	15	24.2%
4	5	8.1%
888	2	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	24	38.7%
2	16	25.8%
3	15	24.2%
4	5	8.1%
888	2	3.2%

Most occurring characters

Value	Count	Frequency (%)
1	24	36.4%
2	16	24.2%
3	15	22.7%
8	6	9.1%
4	5	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	66	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	24	36.4%
2	16	24.2%
3	15	22.7%
8	6	9.1%
4	5	7.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	66	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	24	36.4%
2	16	24.2%
3	15	22.7%
8	6	9.1%
4	5	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	24	36.4%
2	16	24.2%
3	15	22.7%
8	6	9.1%
4	5	7.6%

save_reason
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	24
1	21
2	14
777	2
3	1

Length

Max length	3
Median length	1
Mean length	0.67741935
Min length	0

Characters and Unicode

Total characters	42
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	3
2nd row	1
3rd row
4th row
5th row	2

Common Values

Value	Count	Frequency (%)
	24	38.7%
1	21	33.9%
2	14	22.6%
777	2	3.2%
3	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	21	55.3%
2	14	36.8%
777	2	5.3%
3	1	2.6%

Most occurring characters

Value	Count	Frequency (%)
1	21	50.0%
2	14	33.3%
7	6	14.3%
3	1	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	42	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	21	50.0%
2	14	33.3%
7	6	14.3%
3	1	2.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	42	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	21	50.0%
2	14	33.3%
7	6	14.3%
3	1	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	21	50.0%
2	14	33.3%
7	6	14.3%
3	1	2.4%

save_reason_other
Categorical

Distinct	4
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	59
test	1
No regular income	1
Yet to receive the Guinea fowls and start business	1

Length

Max length	50
Median length	0
Mean length	1.1451613
Min length	0

Characters and Unicode

Total characters	71
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	4.8%

Sample

1st row	test
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	59	95.2%
test	1	1.6%
No regular income	1	1.6%
Yet to receive the Guinea fowls and start business	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
test	1	7.7%
no	1	7.7%
regular	1	7.7%
income	1	7.7%
yet	1	7.7%
to	1	7.7%
receive	1	7.7%
the	1	7.7%
guinea	1	7.7%
fowls	1	7.7%
Other values (3)	3	23.1%

Most occurring characters

Value	Count	Frequency (%)
e	10	14.1%
	10	14.1%
t	7	9.9%
s	6	8.5%
a	4	5.6%
n	4	5.6%
i	4	5.6%
r	4	5.6%
o	4	5.6%
u	3	4.2%
Other values (13)	15	21.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	58	81.7%
Space Separator	10	14.1%
Uppercase Letter	3	4.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10	17.2%
t	7	12.1%
s	6	10.3%
a	4	6.9%
n	4	6.9%
i	4	6.9%
r	4	6.9%
o	4	6.9%
u	3	5.2%
l	2	3.4%
Other values (9)	10	17.2%

Uppercase Letter

Value	Count	Frequency (%)
N	1	33.3%
Y	1	33.3%
G	1	33.3%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	61	85.9%
Common	10	14.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10	16.4%
t	7	11.5%
s	6	9.8%
a	4	6.6%
n	4	6.6%
i	4	6.6%
r	4	6.6%
o	4	6.6%
u	3	4.9%
l	2	3.3%
Other values (12)	13	21.3%

Common

Value	Count	Frequency (%)
	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	10	14.1%
	10	14.1%
t	7	9.9%
s	6	8.5%
a	4	5.6%
n	4	5.6%
i	4	5.6%
r	4	5.6%
o	4	5.6%
u	3	4.2%
Other values (13)	15	21.1%

business_principles
Categorical

Distinct	32
Distinct (%)	51.6%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	16
1 4	5
1 3 2004	4
1 3 2007	3
6	2
Other values (27)	32

Length

Max length	9
Median length	8
Mean length	4.4193548
Min length	1

Characters and Unicode

Total characters	274
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22 ?
Unique (%)	35.5%

Sample

1st row	3
2nd row	1 4 2008
3rd row	1
4th row	1
5th row	1 2 2006

Common Values

Value	Count	Frequency (%)
1	16	25.8%
1 4	5	8.1%
1 3 2004	4	6.5%
1 3 2007	3	4.8%
6	2	3.2%
1 4 2008	2	3.2%
1 2 2005	2	3.2%
1 3	2	3.2%
1 5	2	3.2%
1 7	2	3.2%
Other values (22)	22	35.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	54	38.0%
3	21	14.8%
4	14	9.9%
2	10	7.0%
8	7	4.9%
5	6	4.2%
7	6	4.2%
6	5	3.5%
2004	4	2.8%
2007	4	2.8%
Other values (6)	11	7.7%

Most occurring characters

Value	Count	Frequency (%)
	80	29.2%
1	54	19.7%
0	31	11.3%
2	25	9.1%
3	21	7.7%
7	19	6.9%
4	18	6.6%
5	10	3.6%
8	9	3.3%
6	6	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	194	70.8%
Space Separator	80	29.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	54	27.8%
0	31	16.0%
2	25	12.9%
3	21	10.8%
7	19	9.8%
4	18	9.3%
5	10	5.2%
8	9	4.6%
6	6	3.1%
9	1	0.5%

Space Separator

Value	Count	Frequency (%)
	80	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	80	29.2%
1	54	19.7%
0	31	11.3%
2	25	9.1%
3	21	7.7%
7	19	6.9%
4	18	6.6%
5	10	3.6%
8	9	3.3%
6	6	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	80	29.2%
1	54	19.7%
0	31	11.3%
2	25	9.1%
3	21	7.7%
7	19	6.9%
4	18	6.6%
5	10	3.6%
8	9	3.3%
6	6	2.2%

business_principles_other
Categorical

Distinct	4
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	59
Invest much of my time into the business	1
Invest in children education to help in the future	1
Being committed to the business	1

Length

Max length	50
Median length	0
Mean length	1.9516129
Min length	0

Characters and Unicode

Total characters	121
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	4.8%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	59	95.2%
Invest much of my time into the business	1	1.6%
Invest in children education to help in the future	1	1.6%
Being committed to the business	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
the	3	13.6%
invest	2	9.1%
business	2	9.1%
in	2	9.1%
to	2	9.1%
much	1	4.5%
of	1	4.5%
my	1	4.5%
time	1	4.5%
into	1	4.5%
Other values (6)	6	27.3%

Most occurring characters

Value	Count	Frequency (%)
	19	15.7%
e	14	11.6%
t	13	10.7%
n	10	8.3%
i	10	8.3%
s	8	6.6%
o	6	5.0%
u	6	5.0%
h	6	5.0%
m	5	4.1%
Other values (13)	24	19.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	99	81.8%
Space Separator	19	15.7%
Uppercase Letter	3	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	14	14.1%
t	13	13.1%
n	10	10.1%
i	10	10.1%
s	8	8.1%
o	6	6.1%
u	6	6.1%
h	6	6.1%
m	5	5.1%
c	4	4.0%
Other values (10)	17	17.2%

Uppercase Letter

Value	Count	Frequency (%)
I	2	66.7%
B	1	33.3%

Space Separator

Value	Count	Frequency (%)
	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	102	84.3%
Common	19	15.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14	13.7%
t	13	12.7%
n	10	9.8%
i	10	9.8%
s	8	7.8%
o	6	5.9%
u	6	5.9%
h	6	5.9%
m	5	4.9%
c	4	3.9%
Other values (12)	20	19.6%

Common

Value	Count	Frequency (%)
	19	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	19	15.7%
e	14	11.6%
t	13	10.7%
n	10	8.3%
i	10	8.3%
s	8	6.6%
o	6	5.0%
u	6	5.0%
h	6	5.0%
m	5	4.1%
Other values (13)	24	19.8%

business_principles_applied
Categorical

Distinct	31
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	13
1 4	7
6	3
1 6	3
1 4 2005	3
Other values (26)	33

Length

Max length	9
Median length	8
Mean length	3.6451613
Min length	1

Characters and Unicode

Total characters	226
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	30.6%

Sample

1st row	6
2nd row	1 3
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	13	21.0%
1 4	7	11.3%
6	3	4.8%
1 6	3	4.8%
1 4 2005	3	4.8%
1 2 3 8	2	3.2%
0 1	2	3.2%
2 5	2	3.2%
0	2	3.2%
1 2 2005	2	3.2%
Other values (21)	23	37.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	44	35.5%
4	13	10.5%
3	11	8.9%
6	10	8.1%
2	9	7.3%
5	6	4.8%
0	5	4.0%
7	5	4.0%
2005	5	4.0%
8	4	3.2%
Other values (8)	12	9.7%

Most occurring characters

Value	Count	Frequency (%)
	62	27.4%
1	47	20.8%
0	29	12.8%
2	19	8.4%
4	14	6.2%
7	12	5.3%
5	11	4.9%
3	11	4.9%
6	10	4.4%
8	10	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164	72.6%
Space Separator	62	27.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	47	28.7%
0	29	17.7%
2	19	11.6%
4	14	8.5%
7	12	7.3%
5	11	6.7%
3	11	6.7%
6	10	6.1%
8	10	6.1%
9	1	0.6%

Space Separator

Value	Count	Frequency (%)
	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	226	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	62	27.4%
1	47	20.8%
0	29	12.8%
2	19	8.4%
4	14	6.2%
7	12	5.3%
5	11	4.9%
3	11	4.9%
6	10	4.4%
8	10	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	226	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	62	27.4%
1	47	20.8%
0	29	12.8%
2	19	8.4%
4	14	6.2%
7	12	5.3%
5	11	4.9%
3	11	4.9%
6	10	4.4%
8	10	4.4%

business_principles_applied_other
Categorical

Distinct	3
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	60
Being committed to the business	1
None because he only received wallenting boot and two bags of cement and yet to receive the Guinea fowls	1

Length

Max length	104
Median length	0
Mean length	2.1774194
Min length	0

Characters and Unicode

Total characters	135
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	3.2%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	60	96.8%
Being committed to the business	1	1.6%
None because he only received wallenting boot and two bags of cement and yet to receive the Guinea fowls	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
and	2	8.3%
to	2	8.3%
the	2	8.3%
being	1	4.2%
guinea	1	4.2%
receive	1	4.2%
yet	1	4.2%
cement	1	4.2%
of	1	4.2%
bags	1	4.2%
Other values (11)	11	45.8%

Most occurring characters

Value	Count	Frequency (%)
	22	16.3%
e	20	14.8%
t	11	8.1%
n	10	7.4%
o	10	7.4%
i	7	5.2%
a	6	4.4%
s	6	4.4%
c	5	3.7%
b	4	3.0%
Other values (14)	34	25.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	110	81.5%
Space Separator	22	16.3%
Uppercase Letter	3	2.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20	18.2%
t	11	10.0%
n	10	9.1%
o	10	9.1%
i	7	6.4%
a	6	5.5%
s	6	5.5%
c	5	4.5%
b	4	3.6%
l	4	3.6%
Other values (10)	27	24.5%

Uppercase Letter

Value	Count	Frequency (%)
B	1	33.3%
N	1	33.3%
G	1	33.3%

Space Separator

Value	Count	Frequency (%)
	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	113	83.7%
Common	22	16.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20	17.7%
t	11	9.7%
n	10	8.8%
o	10	8.8%
i	7	6.2%
a	6	5.3%
s	6	5.3%
c	5	4.4%
b	4	3.5%
l	4	3.5%
Other values (13)	30	26.5%

Common

Value	Count	Frequency (%)
	22	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22	16.3%
e	20	14.8%
t	11	8.1%
n	10	7.4%
o	10	7.4%
i	7	5.2%
a	6	4.4%
s	6	4.4%
c	5	3.7%
b	4	3.0%
Other values (14)	34	25.2%

purchase_eggs
Categorical

Distinct	3
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

0	41
1	20
999	1

Length

Max length	3
Median length	1
Mean length	1.0322581
Min length	1

Characters and Unicode

Total characters	64
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	0
2nd row	999
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	41	66.1%
1	20	32.3%
999	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	41	66.1%
1	20	32.3%
999	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	41	64.1%
1	20	31.2%
9	3	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	41	64.1%
1	20	31.2%
9	3	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	64	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	41	64.1%
1	20	31.2%
9	3	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	41	64.1%
1	20	31.2%
9	3	4.7%

purchase_beef
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	39
0	15
2	6
888	1
3	1

Length

Max length	3
Median length	1
Mean length	1.0322581
Min length	1

Characters and Unicode

Total characters	64
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	3.2%

Sample

1st row	1
2nd row	888
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	39	62.9%
0	15	24.2%
2	6	9.7%
888	1	1.6%
3	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	39	62.9%
0	15	24.2%
2	6	9.7%
888	1	1.6%
3	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
1	39	60.9%
0	15	23.4%
2	6	9.4%
8	3	4.7%
3	1	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	39	60.9%
0	15	23.4%
2	6	9.4%
8	3	4.7%
3	1	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	64	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	39	60.9%
0	15	23.4%
2	6	9.4%
8	3	4.7%
3	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	39	60.9%
0	15	23.4%
2	6	9.4%
8	3	4.7%
3	1	1.6%

construction_material
Categorical

Distinct	3
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	57
2	4
999	1

Length

Max length	3
Median length	1
Mean length	1.0322581
Min length	1

Characters and Unicode

Total characters	64
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	1
2nd row	999
3rd row	2
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	57	91.9%
2	4	6.5%
999	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	57	91.9%
2	4	6.5%
999	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
1	57	89.1%
2	4	6.2%
9	3	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	57	89.1%
2	4	6.2%
9	3	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	64	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	57	89.1%
2	4	6.2%
9	3	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	57	89.1%
2	4	6.2%
9	3	4.7%

fuel
Categorical

Distinct	3
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	60
2	1
888	1

Length

Max length	3
Median length	1
Mean length	1.0322581
Min length	1

Characters and Unicode

Total characters	64
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	3.2%

Sample

1st row	2
2nd row	888
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	60	96.8%
2	1	1.6%
888	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	60	96.8%
2	1	1.6%
888	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
1	60	93.8%
8	3	4.7%
2	1	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	60	93.8%
8	3	4.7%
2	1	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	64	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	60	93.8%
8	3	4.7%
2	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	60	93.8%
8	3	4.7%
2	1	1.6%

gas_stove
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

0	61
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	61	98.4%
1	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	61	98.4%
1	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	61	98.4%
1	1	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	61	98.4%
1	1	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	61	98.4%
1	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	61	98.4%
1	1	1.6%

refrigerator
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

0	50
1	12

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	50	80.6%
1	12	19.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	50	80.6%
1	12	19.4%

Most occurring characters

Value	Count	Frequency (%)
0	50	80.6%
1	12	19.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	50	80.6%
1	12	19.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	50	80.6%
1	12	19.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	50	80.6%
1	12	19.4%

fan
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	38
0	24

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	38	61.3%
0	24	38.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	38	61.3%
0	24	38.7%

Most occurring characters

Value	Count	Frequency (%)
1	38	61.3%
0	24	38.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	38	61.3%
0	24	38.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	38	61.3%
0	24	38.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	38	61.3%
0	24	38.7%

television
Categorical

Distinct	3
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	31
0	30
888	1

Length

Max length	3
Median length	1
Mean length	1.0322581
Min length	1

Characters and Unicode

Total characters	64
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	1
2nd row	888
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	31	50.0%
0	30	48.4%
888	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	31	50.0%
0	30	48.4%
888	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
1	31	48.4%
0	30	46.9%
8	3	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	31	48.4%
0	30	46.9%
8	3	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	64	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	31	48.4%
0	30	46.9%
8	3	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	31	48.4%
0	30	46.9%
8	3	4.7%

borrowed_30days
Categorical

Distinct	3
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

0	42
1	19
888	1

Length

Max length	3
Median length	1
Mean length	1.0322581
Min length	1

Characters and Unicode

Total characters	64
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	888
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	42	67.7%
1	19	30.6%
888	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	42	67.7%
1	19	30.6%
888	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	42	65.6%
1	19	29.7%
8	3	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	42	65.6%
1	19	29.7%
8	3	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	64	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	42	65.6%
1	19	29.7%
8	3	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	42	65.6%
1	19	29.7%
8	3	4.7%

borrowed_reason
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

	43
777	8
1	5
3	4
2	2

Length

Max length	3
Median length	0
Mean length	0.56451613
Min length	0

Characters and Unicode

Total characters	35
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row	3
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	43	69.4%
777	8	12.9%
1	5	8.1%
3	4	6.5%
2	2	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
777	8	42.1%
1	5	26.3%
3	4	21.1%
2	2	10.5%

Most occurring characters

Value	Count	Frequency (%)
7	24	68.6%
1	5	14.3%
3	4	11.4%
2	2	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	35	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	24	68.6%
1	5	14.3%
3	4	11.4%
2	2	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	35	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	24	68.6%
1	5	14.3%
3	4	11.4%
2	2	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	24	68.6%
1	5	14.3%
3	4	11.4%
2	2	5.7%

reduce_food
Categorical

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	43
0	19

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	43	69.4%
0	19	30.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	43	69.4%
0	19	30.6%

Most occurring characters

Value	Count	Frequency (%)
1	43	69.4%
0	19	30.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	43	69.4%
0	19	30.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	43	69.4%
0	19	30.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	43	69.4%
0	19	30.6%

unexpected_expense
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

2	34
4	11
3	9
1	7
888	1

Length

Max length	3
Median length	1
Mean length	1.0322581
Min length	1

Characters and Unicode

Total characters	64
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
2	34	54.8%
4	11	17.7%
3	9	14.5%
1	7	11.3%
888	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	34	54.8%
4	11	17.7%
3	9	14.5%
1	7	11.3%
888	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
2	34	53.1%
4	11	17.2%
3	9	14.1%
1	7	10.9%
8	3	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	34	53.1%
4	11	17.2%
3	9	14.1%
1	7	10.9%
8	3	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	64	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	34	53.1%
4	11	17.2%
3	9	14.1%
1	7	10.9%
8	3	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	34	53.1%
4	11	17.2%
3	9	14.1%
1	7	10.9%
8	3	4.7%

current_wealth
Categorical

Distinct	4
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

1	33
3	16
2	11
4	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	62
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3
3rd row	1
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
1	33	53.2%
3	16	25.8%
2	11	17.7%
4	2	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	33	53.2%
3	16	25.8%
2	11	17.7%
4	2	3.2%

Most occurring characters

Value	Count	Frequency (%)
1	33	53.2%
3	16	25.8%
2	11	17.7%
4	2	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	33	53.2%
3	16	25.8%
2	11	17.7%
4	2	3.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	62	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	33	53.2%
3	16	25.8%
2	11	17.7%
4	2	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	33	53.2%
3	16	25.8%
2	11	17.7%
4	2	3.2%

future_wealth
Categorical

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	628.0 B

3	21
1	21
2	11
4	8
999	1

Length

Max length	3
Median length	1
Mean length	1.0322581
Min length	1

Characters and Unicode

Total characters	64
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	3
2nd row	4
3rd row	1
4th row	4
5th row	2

Common Values

Value	Count	Frequency (%)
3	21	33.9%
1	21	33.9%
2	11	17.7%
4	8	12.9%
999	1	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	21	33.9%
1	21	33.9%
2	11	17.7%
4	8	12.9%
999	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
3	21	32.8%
1	21	32.8%
2	11	17.2%
4	8	12.5%
9	3	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	21	32.8%
1	21	32.8%
2	11	17.2%
4	8	12.5%
9	3	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	64	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	21	32.8%
1	21	32.8%
2	11	17.2%
4	8	12.5%
9	3	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	21	32.8%
1	21	32.8%
2	11	17.2%
4	8	12.5%
9	3	4.7%

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	today	duration	enumerator_id	supervisor_id	region	district	community	Sex	Age	schooling	schooling_other	marital_status	household_size	employment_status	had_business	previous_business_status	new_business	completed_tech_training	received_grant	grant_month	grant_amount	have_goal	specific_goal	goal_timeline	goal_cost	accomplish_goal	accomplish_goal_other	savings_frequency	savings_frequency_often	savings_amount	savings_amount_howmuch	save_30days	save_purpose_30days	savings_times_30days	savings_times_30days_other	savings_amount_30days	savings_place_30days	savings_place_30days_other	save_12months	save_purpose_12months	savings_times_12months	savings_times_12months_other	savings_amount_12months	savings_place_12months	savings_place_12months_other	save_ability	save_reason	save_reason_other	business_principles	business_principles_other	business_principles_applied	purchase_eggs	purchase_beef	construction_material	fuel	gas_stove	refrigerator	fan	television	borrowed_30days	borrowed_reason	reduce_food	unexpected_expense	current_wealth	future_wealth
1	2022-11-15	320	224661	201	1	102	394	2	34	1		2	4	3	1	2	0	0	0			1	4	4	0							1	3	2		4	1		1	4	2		4	1		2	3	test	3		6	0	1	1	2	0	1	0	1	888		0	2	2	3
2	2022-11-21	482	224661	201	0	0	999	2	999	777	TEST	4	20	3	1	1	0	1	1	5	34	1	6	14	1	2 3		1	4	1	99999	1	2 4	1		3333	2 3		0							2	1		1 4 2008		1 3	999	888	999	888	1	0	0	888	1	3	1	2	3	4
3	2022-11-22	4577	882463	201	0	0	999	2	35	0		1	10	2	1	2	0	1	1	8	300	1	2	3	1	1		1	1	1	2	1	5	3		120	1		1	5	999		750	1		1			1		1	0	0	2	1	0	1	1	1	0		0	1	1	1
4	2022-11-22	3276	625423	201	0	0	999	2	20	0		1	20	2	1	1	1	1	1	11	320	1	2	12	1	1		1	2	1	10	1	2 5	3		40	3		1	2	777	48	48	3		1			1		1	0	0	1	1	0	1	1	1	0		0	2	3	4
5	2022-11-22	4640	222165	201	0	0	999	2	45	0		1	12	2	1	2	1	1	1	10	480	1	2	6	1	1		1	2	1	20	1	5	3		80	1		1	5	999		200	3		2	2		1 2 2006		1	0	1	1	1	0	1	1	0	0		0	3	2	2
6	2022-11-22	26614	962272	201	0	0	999	1	43	6		1	20	1	1	1	0	1	1	8	1200	1	9		0							1	1 2	777	8	160	3 4		1	1 2	777	96	1920	3 4		1			1 4 2005		1 4 2005	1	1	1	1	0	0	1	1	0		0	2	3	3
7	2022-11-22	9525	509828	201	0	0	999	1	30	6		1	16	2	1	2	0	1	1	8	1200	1	2	12	0							1	2 5	3		30	777	Mobile money accounts	1	1 2 2005	3		336	777	9Mobile money accounts	1			1 777	Invest much of my time into the business	1 4	1	1	1	1	0	0	1	1	0		0	2	1	4
8	2022-11-22	4205	258309	201	0	0	999	2	20	0		4	6	2	1	2	0	1	1	8	900	1	9		1	1		1	4	1	150	1	2 4	2		150	1 2		1	2 4	3		1280	1 2		1			1		1	0	1	1	1	0	0	1	0	0		1	2	3	1
9	2022-11-22	1418	200925	201	0	0	999	2	40	0		1	8	2	1	1	1	1	1	8	325	1	2	3	1	1		1	2	1	400	1	2 5	3		30	1		1	2 5	3		99999	1		3	1		1		1	0	0	1	1	0	0	1	0	0		1	1	2	2
10	2022-11-22	13972	706148	201	0	0	999	1	34	3		1	16	1	1	1	1	1	1	3	1200	1	2	999	1	1 777	Sell farm products	1	3	1	3000	1	1 5	2		580	1		1	1 2 2005	777	36	2240	1		1			3 9		1	0	1	1	1	0	0	0	0	1	777	0	3	1	1

	today	duration	enumerator_id	supervisor_id	region	district	community	Sex	Age	schooling	marital_status	household_size	employment_status	had_business	previous_business_status	new_business	completed_tech_training	received_grant	grant_month	grant_amount	have_goal	specific_goal	goal_timeline	goal_cost	accomplish_goal	accomplish_goal_other	savings_frequency	savings_frequency_often	savings_amount	savings_amount_howmuch	save_30days	save_purpose_30days	savings_times_30days	savings_amount_30days	savings_place_30days	savings_place_30days_other	save_12months	save_purpose_12months	savings_times_12months	savings_amount_12months	savings_place_12months	savings_place_12months_other	save_ability	save_reason	business_principles	business_principles_applied	purchase_beef	construction_material	fuel	refrigerator	fan	television	borrowed_30days	borrowed_reason	reduce_food	unexpected_expense	current_wealth	future_wealth
53	2022-11-27	3149	163292	203	4	409	223	2	52	0	1	7	4	0		1	1	1	9	1500	1	2	6	1	1 3		1	2	1	30	1	1 2 2005	2	100	1 3		1	1 2	2	100	1 3		3	1	1 3 2007	1 7	1	1	1	0	1	0	0		1	1	3	3
54	2022-11-27	1505	163292	203	4	409	223	2	41	0	1	12	2	1	2	0	1	1	9	1200	1	6	12	1	1 2		1	3	1	60	0						0						1		1 3 2004	0 1 3 5 7	1	1	1	0	0	1	1	777	1	2	1	3
55	2022-11-27	1102	163292	203	4	409	223	2	34	1	1	7	4	0		0	1	1	9	1300	1	2	12	1	1 3		1	3	1	100	0						0						4	2	1 3 5 7	1 4 2007	1	1	1	0	1	1	1	1	1	2	1	3
56	2022-11-27	1459	163292	203	4	409	223	2	49	0	1	10	4	0		0	1	1	9	1020	1	2	12	1	1 2 2003		1	3	1	50	1	1	2	30	1 3		1	1 2	2	60	1 3		1		1	1 7	2	1	1	0	0	0	1	777	1	2	1	2
57	2022-11-27	1023	163292	203	4	409	223	2	48	3	1	15	2	1	1	0	1	1	9	1200	1	2	12	1	1		1	2	1	10	1	1 2 2005	2	50	1 2		1	1 2 2005	2	50	1 2 2003		2	1	1 3 2004	1 3 4 7	1	1	1	0	1	1	1	777	1	2	1	3
58	2022-11-27	1226	163292	203	4	409	223	2	40	1	1	7	4	0		0	1	1	9	1020	1	2	12	1	1 3		1	2	1	20	1	1 2 2005	3	120	1 3		1	1 2	3	120	1 3		3	2	1 4 2007	1 10	1	1	1	0	1	1	1	1	1	2	1	3
59	2022-11-27	1384	163292	203	4	409	223	1	34	0	1	15	4	0		0	1	1	9	1500	1	2	12	1	1 3		1	3	1	100	1	1	2	150	777	Mobile money	1	1 2	2	150	777	Mobile money	3	2	1 3 2007	1	1	1	1	1	1	0	1	777	1	2	1	4
60	2022-11-27	2223	163292	203	4	409	223	2	42	4	1	9	4	0		0	1	1	9	1020	1	2	12	1	1 777	Charcoal burning	1	2	1	20	1	1 2 2004	3	60	1		1	1 2 2004	3	60	1 3		3	2	1 3 2007	10	1	1	1	1	1	1	1	777	1	1	1	3
61	2022-11-27	4040	163292	203	4	409	223	1	55	0	1	15	4	0		0	1	1	9	1020	1	2	18	1	1 2 2003		1	2	1	30	0						0						3	2	1 7	1 7 10	1	1	1	1	1	1	0		1	2	1	3
62	2022-11-27	1039	163292	203	4	409	223	1	29	1	1	5	4	0		0	1	1	9	1500	1	2	12	1	1		1	2	1	30	0						0						4	1	1	1	1	1	1	0	1	1	1	3	1	2	1	3

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks